OBO Foundry dashboard analysis¶

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/tmp/ipykernel_752/4293058459.py:21: FutureWarning:

The `inplace` parameter in pandas.Categorical.reorder_categories is deprecated and will be removed in a future version. Reordering categories will always return a new Categorical object.

Ontologies by number of axioms

Ontologies by number of classes

Ontologies by how many ontologies use it

Different serialisations used

RDF/XML Syntax    7
Name: syntax, dtype: int64

Breakdown of used Axiom Types

count mean std min 25% 50% 75% max
AnnotationAssertion 7 99823.571429 141179.349545 1195.0 5241.5 10773.0 150303.5 375707.0
Declaration 7 11272.000000 12337.253530 300.0 1276.5 5628.0 19129.0 32165.0
EquivalentClasses 6 2490.000000 3259.619047 0.0 20.0 584.0 4519.0 7768.0
SubClassOf 6 14756.571429 19329.499475 0.0 274.0 1167.0 27448.0 46685.0
SubAnnotationPropertyOf 5 7.571429 13.697410 0.0 0.5 3.0 5.5 38.0
SubPropertyChainOf 4 6.428571 9.396048 0.0 0.0 1.0 9.5 25.0
SymmetricObjectProperty 3 1.000000 1.414214 0.0 0.0 0.0 2.0 3.0
SubObjectPropertyOf 3 20.285714 35.069998 0.0 0.0 0.0 27.0 88.0
DisjointClasses 3 12.857143 28.864214 0.0 0.0 0.0 6.0 78.0
ObjectPropertyRange 2 4.857143 9.494359 0.0 0.0 0.0 4.5 25.0
TransitiveObjectProperty 2 1.142857 2.267787 0.0 0.0 0.0 1.0 6.0
InverseObjectProperties 2 4.285714 7.867958 0.0 0.0 0.0 5.0 20.0
ObjectPropertyDomain 2 7.142857 12.850792 0.0 0.0 0.0 9.0 32.0
DataPropertyRange 2 0.857143 1.463850 0.0 0.0 0.0 1.5 3.0
DataPropertyDomain 2 1.714286 3.728909 0.0 0.0 0.0 1.0 10.0
ClassAssertion 2 3.285714 7.846746 0.0 0.0 0.0 1.0 21.0
AnnotationPropertyRangeOf 2 0.571429 0.975900 0.0 0.0 0.0 1.0 2.0
DifferentIndividuals 1 0.285714 0.755929 0.0 0.0 0.0 0.0 2.0
SubDataPropertyOf 1 2.142857 5.669467 0.0 0.0 0.0 0.0 15.0

Breakdown of used OWL Class Expression constructs

count mean std min 25% 50% 75% max
Class 7 47377.714286 57388.982168 513.0 3769.5 14550.0 79831.0 149380.0
ObjectIntersectionOf 6 2783.571429 3647.606469 0.0 17.0 717.0 5340.0 8054.0
ObjectSomeValuesFrom 6 6294.714286 9287.728547 0.0 71.5 1151.0 10960.0 20849.0
ObjectUnionOf 4 12.000000 17.156146 0.0 0.0 7.0 14.5 48.0
DataSomeValuesFrom 2 0.428571 0.786796 0.0 0.0 0.0 0.5 2.0
ObjectExactCardinality 2 0.571429 1.133893 0.0 0.0 0.0 0.5 3.0
DataHasValue 1 0.571429 1.511858 0.0 0.0 0.0 0.0 4.0
ObjectAllValuesFrom 1 0.714286 1.889822 0.0 0.0 0.0 0.0 5.0
ObjectComplementOf 1 0.285714 0.755929 0.0 0.0 0.0 0.0 2.0
DataExactCardinality 1 0.142857 0.377964 0.0 0.0 0.0 0.0 1.0
ObjectOneOf 1 0.714286 1.889822 0.0 0.0 0.0 0.0 5.0
ObjectHasValue 1 2164.000000 5725.405837 0.0 0.0 0.0 0.0 15148.0

OBO Score (Experimental)

ontology score score_dash score_impact
2 hp 0.577 0.800 0.429
3 maxo 0.462 0.727 0.286
0 ecto 0.423 0.844 0.143
4 mondo 0.380 0.949 0.000
6 vbo 0.356 0.889 0.000
1 geno 0.291 0.727 0.000
5 sepio 0.187 0.467 0.000

OBO Score Summary

count mean std min 25% 50% 75% max
score 7.0 0.382286 0.124560 0.187 0.3235 0.38 0.4425 0.577
score_dash 7.0 0.771857 0.157089 0.467 0.7270 0.80 0.8665 0.949
score_impact 7.0 0.122571 0.173743 0.000 0.0000 0.00 0.2145 0.429

OBO dependency graph